Crisis, what crisis? An overview of professional and academic credentials in Canadian public relations
Bibliographic record
Abstract
This study explored the reasons for the failure of accreditation (i.e., APR, ABC) in Canadian public relations and communications. An extensive mixed-methods research design (22 in-depth interviews, 231 completed surveys, and content analysis of 600 job postings) was used to determine both the attitudes towards and tangible benefits of accreditation. It was found that the majority of practitioners are investing in applied graduate degrees (i.e, MCM, MPR, MAPC, MPC) rather than accreditation. The CPRS and IABC designations have been available in Canada since 1968, however, as of 2014 only 793 practitioners possess them. Conversely, applied graduate programs for mid-career practitioners have graduated 973 practitioners since 2001. Academic credentials and experience in public relations and communications are the most important qualifications to the industry, employers, and practitioners. The APR and ABC designations have failed to demonstrate value and relevance to the practice over the past four decades.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.018 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".